Laurent El Ghaoui

Orcid: 0000-0002-0499-5610

Affiliations:
  • University of California, Berkeley, USA


According to our database1, Laurent El Ghaoui authored at least 102 papers between 1994 and 2024.

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Bibliography

2024
Naive Feature Selection: A Nearly Tight Convex Relaxation for Sparse Naive Bayes.
Math. Oper. Res., 2024

Optimizing electric vehicles charging through smart energy allocation and cost-saving.
CoRR, 2024

The Extrapolation Power of Implicit Models.
CoRR, 2024

Metastatic Lung Cancer Prognosis Via Deep Image-Based Lesion Prioritization.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
Data-Driven Reachability and Support Estimation With Christoffel Functions.
IEEE Trans. Autom. Control., September, 2023

2022
Approximation Bounds for Sparse Programs.
SIAM J. Math. Data Sci., 2022

State-driven Implicit Modeling for Sparsity and Robustness in Neural Networks.
CoRR, 2022

A Sequential Greedy Approach for Training Implicit Deep Models.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Learning-based Initialization Strategy for Safety of Multi-Vehicle Systems.
Proceedings of the American Control Conference, 2022

Recurrent Neural Network Controllers Synthesis with Stability Guarantees for Partially Observed Systems.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Implicit Deep Learning.
SIAM J. Math. Data Sci., 2021

FANOK: Knockoffs in Linear Time.
SIAM J. Math. Data Sci., 2021

Data-Driven Reachability analysis and Support set Estimation with Christoffel Functions.
CoRR, 2021

Reachability-based Safe Planning for Multi-Vehicle Systems withMultiple Targets.
CoRR, 2021

Grid Topology Estimation in Electrical Markets via Diagonally Dominant Laplacian.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2021

Data-Driven Reachability Analysis with Christoffel Functions.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Reachability-based Safe Planning for Multi-Vehicle Systems with Multiple Targets.
Proceedings of the 2021 American Control Conference, 2021

2020
Text Analytics for Resilience-Enabled Extreme EventsReconnaissance.
CoRR, 2020

Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization.
CoRR, 2020

Implicit Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization.
Proceedings of the 37th International Conference on Machine Learning, 2020

Sparse Optimization for Unsupervised Extractive Summarization of Long Documents with the Frank-Wolfe Algorithm.
Proceedings of SustaiNLP: Workshop on Simple and Efficient Natural Language Processing, 2020

Implicit Optimization: Models and Methods.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Fenchel Lifted Networks: A Lagrange Relaxation of Neural Network Training.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Naive Feature Selection: Sparsity in Naive Bayes.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Implicit Deep Learning.
CoRR, 2019

Theoretically Principled Trade-off between Robustness and Accuracy.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
Frank-Wolfe Algorithm for Exemplar Selection.
CoRR, 2018

Kernel-based Outlier Detection using the Inverse Christoffel Function.
CoRR, 2018

Lifted Neural Networks.
CoRR, 2018

2016
A tractable numerical strategy for robust MILP and application to energy management.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015
Sparse learning via Boolean relaxations.
Math. Program., 2015

Sparse identification of posynomial models.
Autom., 2015

Robust sketching for multiple square-root LASSO problems.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014
Approximation bounds for sparse principal component analysis.
Math. Program., 2014

Robust sketching for multiple square-root LASSO problems.
CoRR, 2014

Concise comparative summaries (CCS) of large text corpora with a human experiment.
CoRR, 2014

Iterative Hard Thresholding for Keyword Extraction from Large Text Corpora.
Proceedings of the 13th International Conference on Machine Learning and Applications, 2014

2013
Online Homotopy Algorithm for a Generalization of the LASSO.
IEEE Trans. Autom. Control., 2013

Understanding large text corpora via sparse machine learning.
Stat. Anal. Data Min., 2013

Sparse Identification of Polynomial and Posynomial Models.
CoRR, 2013

2012
Graph Weight Allocation to Meet Laplacian Spectral Constraints.
IEEE Trans. Autom. Control., 2012

Recovery of Sparse Probability Measures via Convex Programming.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Predicting Congressional Votes Based on Campaign Finance Data.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

2011
Testing the nullspace property using semidefinite programming.
Math. Program., 2011

SBA-term: Sparse Bilingual Association for Terms.
Proceedings of the 5th IEEE International Conference on Semantic Computing (ICSC 2011), 2011

Large-Scale Sparse Principal Component Analysis with Application to Text Data.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Sparse Machine Learning Methods for Understanding Large Text Corpora.
Proceedings of the 2011 Conference on Intelligent Data Understanding, 2011

Graph weight design for Laplacian eigenvalue constraints with multi-agent systems applications.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Online least-squares estimation of time varying systems with sparse temporal evolution and application to traffic estimation.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
Safe Feature Elimination in Sparse Supervised Learning
CoRR, 2010

Discovering word associations in news media via feature selection and sparse classification.
Proceedings of the 11th ACM SIGMM International Conference on Multimedia Information Retrieval, 2010

Yield-constrained digital circuit sizing via sequential geometric programming.
Proceedings of the 11th International Symposium on Quality of Electronic Design (ISQED 2010), 2010

Designing node and edge weights of a graph to meet Laplacian eigenvalue constraints.
Proceedings of the 48th Annual Allerton Conference on Communication, 2010

2009
Parameter estimation with expected and residual-at-risk criteria.
Syst. Control. Lett., 2009

Kernel regression for travel time estimation via convex optimization.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Robust Optimization
Princeton Series in Applied Mathematics 28, Princeton University Press, ISBN: 978-1-4008-3105-0, 2009

2008
First-Order Methods for Sparse Covariance Selection.
SIAM J. Matrix Anal. Appl., 2008

Optimal Solutions for Sparse Principal Component Analysis.
J. Mach. Learn. Res., 2008

Model Selection Through Sparse Maximum Likelihood Estimation for Multivariate Gaussian or Binary Data.
J. Mach. Learn. Res., 2008

A Convex Upper Bound on the Log-Partition Function for Binary Distributions.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

An Homotopy Algorithm for the Lasso with Online Observations.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Multistage investments with recourse: A single-asset case with transaction costs.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

2007
A Direct Formulation for Sparse PCA Using Semidefinite Programming.
SIAM Rev., 2007

Model Selection Through Sparse Maximum Likelihood Estimation
CoRR, 2007

A Semidefinite Relaxation for Air Traffic Flow Scheduling.
Proceedings of the 2007 IEEE International Conference on Research, 2007

Full regularization path for sparse principal component analysis.
Proceedings of the Machine Learning, 2007

Robust feasibility for control of water flow in a reservoir-canal system.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

Linear Programming with Probability Constraints - Part 2.
Proceedings of the American Control Conference, 2007

Linear Programming with Probability Constraints - Part 1.
Proceedings of the American Control Conference, 2007

2006
Static arbitrage bounds on basket option prices.
Math. Program., 2006

Foreword: special issue on robust optimization.
Math. Program., 2006

Optimal path planning for air traffic flow management under stochastic weather and capacity constraints.
Proceedings of the 4th International Confernce on Computer Sciences: Research, 2006

Convex optimization techniques for fitting sparse Gaussian graphical models.
Proceedings of the Machine Learning, 2006

2005
Robust Control of Markov Decision Processes with Uncertain Transition Matrices.
Oper. Res., 2005

Sparse Covariance Selection via Robust Maximum Likelihood Estimation
CoRR, 2005

2004
Learning the Kernel Matrix with Semidefinite Programming.
J. Mach. Learn. Res., 2004

Robust Sparse Hyperplane Classifiers: Application to Uncertain Molecular Profiling Data.
J. Comput. Biol., 2004

Ellipsoidal bounds for uncertain linear equations and dynamical systems.
Autom., 2004

Algorithms for Multi-Aircraft Re-Routing Under Uncertainties.
Proceedings of the Actes de la Deuxieme Conference Internationale Associant Chercheurs Vietnamiens et Francophones en Informatique, 2004

Robust model predictive control through adjustable variables: an application to path planning.
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004

Algorithms for air traffic flow management under stochastic environments.
Proceedings of the 2004 American Control Conference, 2004

2003
Worst-Case Value-At-Risk and Robust Portfolio Optimization: A Conic Programming Approach.
Oper. Res., 2003

Robustness in Markov Decision Problems with Uncertain Transition Matrices.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

2002
A Robust Minimax Approach to Classification.
J. Mach. Learn. Res., 2002

Robust Novelty Detection with Single-Class MPM.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Learning the Kernel Matrix with Semi-Definite Programming.
Proceedings of the Machine Learning, 2002

2001
Robust filtering for discrete-time systems with bounded noise and parametric uncertainty.
IEEE Trans. Autom. Control., 2001

Output Feedback Control with Input Saturations: LMI Design Approaches.
Eur. J. Control, 2001

Robust maximum likelihood estimation in the linear model.
Autom., 2001

Minimax Probability Machine.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Convex Optimization Methods for Sensor Node Position Estimation.
Proceedings of the Proceedings IEEE INFOCOM 2001, 2001

Minimum variance estimation with uncertain statistical model.
Proceedings of the 40th IEEE Conference on Decision and Control, 2001

2000
Watermarking Based on Duality with Distributed Source Coding and Robust Optimization Principles.
Proceedings of the 2000 International Conference on Image Processing, 2000

Robust optimization-based control: an LMI approach.
Proceedings of the 39th IEEE Conference on Decision and Control, 2000

1998
Robust Solutions to Uncertain Semidefinite Programs.
SIAM J. Optim., 1998

Worst-case simulation of uncertain systems.
Proceedings of the Robustness in Identification and Control, Workshop Robustness in Identification and Control, Siena, Italy, July 30, 1998

1997
Robust Solutions to Least-Squares Problems with Uncertain Data.
SIAM J. Matrix Anal. Appl., October, 1997

A cone complementarity linearization algorithm for static output-feedback and related problems.
IEEE Trans. Autom. Control., 1997

1996
LMI optimization for nonstandard Riccati equations arising in stochastic control.
IEEE Trans. Autom. Control., 1996

Control of rational systems using linear-fractional representations and linear matrix inequalities.
Autom., 1996

1994
Linear Matrix Inequalities in System and Control Theory.
Studies in Applied Mathematics 15, SIAM, ISBN: 978-1-61197-077-7, 1994


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